CN112179945A - Device and method for on-line monitoring of furnace wall defects of high-temperature reaction furnace - Google Patents

Device and method for on-line monitoring of furnace wall defects of high-temperature reaction furnace Download PDF

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CN112179945A
CN112179945A CN201910586024.2A CN201910586024A CN112179945A CN 112179945 A CN112179945 A CN 112179945A CN 201910586024 A CN201910586024 A CN 201910586024A CN 112179945 A CN112179945 A CN 112179945A
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temperature
furnace
hearth
furnace wall
signal converter
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毕传光
张辉
金峰
孙俊杰
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Shanghai Meishan Iron and Steel Co Ltd
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Shanghai Meishan Iron and Steel Co Ltd
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Abstract

The invention relates to a device for on-line monitoring of furnace wall defects of a high-temperature reaction furnace, which comprises a temperature sensor array, an acquisition box, a temperature signal converter, a bus signal converter and a data acquisition processor, and also comprises at least one temperature sensor which is arranged on a reference temperature measuring point and is used for representing the temperature of fluid in the furnace; wherein the temperature sensor array is arranged on at least one group of temperature observation points laid between the inner surface and the outer surface of the furnace wall (hearth) in the same horizontal section; the temperature sensor array is arranged at equal distance or unequal distance on at least two equidistant lines of the inner wall surface; the temperature signal converter is connected with the temperature sensor, and the temperature signal converter and the bus signal converter are installed in the data acquisition box; the data acquisition processor with the serial communication interface and the human-computer interaction function is connected with the bus signal converter. The scheme can obviously improve the accuracy of safety early warning of the hearth and improve the yield and the economical efficiency of the blast furnace.

Description

Device and method for on-line monitoring of furnace wall defects of high-temperature reaction furnace
Technical Field
The invention relates to a monitoring device, in particular to a device and a method for on-line monitoring of furnace wall defects of a high-temperature reaction furnace, belongs to an on-line monitoring method for defects of (furnace hearths), and relates to the technical field of safety monitoring and diagnosis of chemical and metallurgical equipment.
Background
In the field of metallurgy and chemical engineering, there are many process devices which contain high-temperature liquid or gas reactants/reaction products, and the furnace walls of these high-temperature reaction furnaces are usually subjected to high temperature or pressure, and safe operation is of great importance. Taking an iron-making furnace as an example, according to the process requirements, the temperature of molten iron in the furnace is over 1000 ℃ in the normal production process, major safety accidents and huge economic losses can be caused once the furnace wall (hearth) fails, and adverse social effects can be brought at the same time. Although the structural and material durability of the hearth has been considered in the design process of the hearth, and the reinforcement and cooling measures for the hearth are adopted, in the actual operation process, due to the change of the operation condition, the influence of factors such as the scouring of high-temperature fluid (such as molten iron), vibration and stress, the profile of the hearth deviates from the design condition remarkably, even cracks (or air gaps) are generated, and the design process becomes a great safety hazard. Therefore, there is an objective need for a method for monitoring and forecasting hearth defects.
The monitoring of furnace wall defects of a high-temperature reaction furnace generally refers to two problems, namely, the change of the furnace hearth profile caused by the erosion of the surface of the furnace wall (furnace hearth) by high-temperature liquid or gas, such as the reduction of structural rigidity and strength caused by local thinning, and the penetrating or non-penetrating cracks (or air gaps) caused by factors such as vibration, stress, material defects and the like. The former is a relatively slow process and restores its original profile due to possible solidification of the liquid or solid powder adhesion in the gas, while the latter is usually a permanent defect that, once created, does not restore, which may lead to instantaneous furnace wall (hearth) failure when certain critical conditions (stress or temperature) occur.
There are several methods and techniques that can be used for furnace wall (hearth) defect detection, such as ultrasonic inspection techniques, which directly detect hearth defects, radiographic inspection techniques, and indirect inspection techniques via surface infrared thermography, stress or strain based indirect inspection techniques, and the like. Some of these techniques are difficult to monitor online due to principles, safety (e.g., ray method), and cost, and some techniques cannot meet the requirements of long-term monitoring due to long-term signal drift (e.g., strain method). Particularly for large-scale high-temperature reaction furnaces, the temperature exceeds the tolerance capability or the working range of some sensors, and cannot be realized in reality.
Because the temperature is an important operating parameter of the high-temperature reaction furnace, a high-temperature-resistant thermocouple temperature sensor is embedded in a furnace wall (a hearth) according to certain standard requirements during design and construction to monitor the temperature of the hearth or in the furnace. For example, in an iron-making blast furnace, temperature sensors are arranged at key positions such as a hearth and a furnace bottom, a certain number of water-cooled walls are arranged on the wall surface of the hearth to control the heat dissipation capacity of the hearth, and meanwhile, the temperature sensor and the flow sensor of cooling water can also reflect certain local temperatures in the hearth to a certain extent. For example, in the iron-making industry, the erosion condition of a hearth is judged through continuous monitoring data of temperature. However, this method is limited to indirectly determining the profile of the hearth from the temperature level (the isothermal surface at 1150 ℃ is considered as the profile of the hearth), and cannot distinguish whether the influence is caused by hearth erosion or hearth cracks (air gaps) from the temperature itself.
At present, no accepted mature method can be used for the online monitoring method and device or system of the defects of the furnace wall (hearth) of the high-temperature reaction furnace.
Disclosure of Invention
The invention provides a device for on-line monitoring the furnace wall defects of a high-temperature reaction furnace aiming at the problems in the prior art, the scheme provides a method and a device for on-line monitoring the furnace wall (hearth) defects according to a plurality of temperature sensor signals embedded in the furnace wall (hearth), the scheme can obviously improve the accuracy of safety early warning of the hearth and improve the yield and the economy of a blast furnace; the device has low manufacturing cost, and the adopted hardware belongs to common devices in the market and is very easy to obtain.
In order to achieve the above object, the technical solution of the present invention is as follows,
according to the theory of heat conduction, under the condition of stable environmental conditions, the temperature change at the temperature measuring point in the furnace wall (hearth) is mainly caused by the temperature change of a high-temperature medium in the furnace, because of the influence of the thermal resistance and the thermal inertia of materials, when the temperature change signal of the inner surface of the hearth is transmitted to the interior of the furnace wall (hearth), the temperature change signal has attenuation with a certain amplitude, and the temperature observation point with the attenuation amplitude is related to the distance of the surface and the thermal conductivity and the thermal diffusion coefficient of the materials of the furnace wall. When the thermophysical properties of the furnace wall material are known, the magnitude of the attenuation depends on the distance of the temperature observation point from the inner surface of the hearth. When the furnace wall (hearth) is not defective, the temperature fluctuation range of the temperature observation points equidistant from the inner surface is the same, when the furnace wall (hearth) in contact with a high-temperature medium is corroded or a defect such as a penetrating crack occurs, the temperature fluctuation range of the nearby temperature sensor is increased due to the fact that the distance between the surface of the defective portion and the high-temperature fluid from the temperature observation points is reduced to different degrees, and when a non-penetrating crack (air gap) occurs inside the furnace wall (hearth), although the high-temperature fluid cannot invade the crack, the local thermal resistance of the furnace wall (hearth) is increased (the equivalent thermal conductivity is reduced) due to the existence of the crack, and the temperature fluctuation range is further attenuated relative to the crack-free state.
In the embodiment, L horizontal sections are selected in the height direction of the furnace wall (hearth), and M is divided in each horizontal sectioniAn equidistant line i 1,2, L from the profile of the inner surface of the furnace wall (hearth), N being determined at each equidistant linejA point, j ═ 1, 2.., MiIn total, add up to
Figure BDA0002114610720000021
The points form a geometrically regular or irregular thermometric array. At these points, temperature sensors T are mountedi,jAnd in the working process of the reaction furnace, a data acquisition and processing device is used for obtaining temperature dynamic data on a measuring point of the furnace wall (furnace hearth) in a time window, analyzing the amplitude and phase difference of temperature fluctuation and judging whether defects appear in the furnace wall (furnace hearth) in the running process according to the fluctuation amplitude.
The device for on-line monitoring of the furnace wall defects of the high-temperature reaction furnace is characterized by comprising a temperature sensor array, a collection box, a temperature signal converter, a bus signal converter and a data collection processor, and further comprising at least one temperature sensor which is arranged on a reference temperature measuring point and used for representing the temperature of fluid in the furnace;
wherein the temperature sensor array is arranged on at least one group of temperature observation points laid between the inner surface and the outer surface of the furnace wall (hearth) in the same horizontal section; the temperature sensor array is arranged at equal distance or unequal distance on at least two equidistant lines of the inner wall surface;
the temperature signal converter is connected with the temperature sensor, and the temperature signal converter and the bus signal converter are installed in the data acquisition box; the data acquisition processor with the serial communication interface and the human-computer interaction function is connected with the bus signal converter. And (3) judging the existence and the form of the defects of the furnace wall (the furnace hearth) according to the distribution of the ratio of the temperature fluctuation amplitude of each temperature measuring point in the furnace wall (the furnace hearth) in a time window which has a certain length and slides along with time to the amplitude of the high-temperature fluid temperature in space. When the temperature amplitude ratio of a certain temperature measuring point on the same equidistant line of the inner surface on the horizontal section of the furnace wall (furnace hearth) and the average amplitude ratio of the equidistant line have large negative deviation, the furnace wall (furnace hearth) near the measuring point can be judged to have non-through cracks, so that the heat conduction resistance of the furnace wall (furnace hearth) is increased; when abnormal distribution that the inner value is smaller than the outer value occurs in the temperature amplitude ratio on adjacent equidistant lines, judging that a through crack occurs and a high-temperature medium is immersed into the crack; when the temperature amplitude ratio on adjacent equidistant lines has abnormal distribution with the inner value smaller than the outer value, the penetrating crack is possibly generated and the high-temperature medium is immersed into the crack. The method and the device for on-line monitoring the defects of the furnace wall (hearth) of the high-temperature reaction furnace have the advantages that the system structure is simple, the algorithm is simple, the test result can visually reflect the occurrence and development conditions of the defects of the furnace wall (hearth), and the influence caused by random errors of temperature measurement is avoided due to the adoption of temperature data in a time window, so that the data are more stable and reliable; the device has low manufacturing cost, and the adopted hardware belongs to common devices in the market and is very easy to obtain.
The method for on-line monitoring the furnace wall defects of the high-temperature reaction furnace is realized on the device and is characterized by comprising the following steps of:
1.) selecting L horizontal sections in the height direction of the furnace wall (hearth), and dividing M in each horizontal sectioniOf a profile in contact with the inside of the furnace wall (hearth)Equidistant lines, i 1,2, L determine N on each equidistant linejA point, j ═ 1, 2.., MiIn total, add up to
Figure BDA0002114610720000031
The points form a thermometric array, each measuring point being at a specific time τkIs recorded as
Figure BDA0002114610720000032
2.) at least one temperature sensor is arranged to measure or characterize the temperature of the hot medium in the furnace, at a specific time τkIs recorded as the reference temperature
Figure BDA0002114610720000033
3.) the sensors in the temperature measurement array and the reference temperature sensor are respectively connected with a temperature signal converter and a bus converter collector, and the bus converter is connected with a data processor with human-computer interaction capacity to form a temperature measurement network capable of continuous online monitoring;
4.) inputting sampling interval delta tau and sampling time window length tau from a man-machine interaction interface of the data processorLAnd a start instruction;
5.) processing the measured temperatures of the points by a data processor, calculating a variance characterization of the temperature variations of the points over a given time window to determine the amplitude A of the temperature fluctuations at the measuring and reference pointsi,jAnd ArefThe specific algorithm is
(a) It is assumed that the time series of the temperature of each measuring point and the reference point measured in a certain test window are respectively
Figure BDA0002114610720000041
And
Figure BDA0002114610720000042
then the average values can be calculated as
Figure BDA0002114610720000043
And
Figure BDA0002114610720000044
variance is respectively
Figure BDA0002114610720000045
And
Figure BDA0002114610720000046
(b) calculating the amplitude ratio sigma of the temperature variance of each measuring point and the temperature of the reference point in the windowi,j=Di,j(τ)/Dref(τ);
(c) Repeating the steps on each horizontal section to obtain the amplitude ratio sigma of all temperature measuring pointsi,jDistribution in space;
(d) when the temperature amplitude ratio sigma of a certain temperature measuring point on the same equidistant linei,jWhen the larger positive relative deviation (typical value is 10%) occurs between the measured point and the adjacent point, the furnace wall (hearth) near the measured point can be judged to have defects;
(e) when the temperature amplitude ratio sigma of a certain temperature measuring point on the same equidistant linei,jUnder the condition of larger negative relative deviation (the typical value is 10%) compared with the average amplitude of the isodistance line, the furnace wall (the furnace hearth) near the measuring point can be judged to have non-through cracks, so that the heat conduction resistance of the furnace wall (the furnace hearth) is increased;
(f) temperature amplitude ratio sigma when adjacent equidistant linesi,jWhen abnormal distribution with an inner value smaller than an outer value occurs, a penetrating crack occurs, and a high-temperature medium is immersed into the crack;
(g) and after a time step, moving the time window backwards by a time step, and repeating the calculation steps to realize the online monitoring of the defects of the furnace wall (the furnace hearth).
Compared with the prior art, the method and the device for on-line monitoring the defects of the furnace wall (hearth) of the high-temperature reaction furnace, which are provided by the technical scheme, have the advantages that the system structure is simple and direct, the algorithm is simple, the test result can intuitively reflect the occurrence and development conditions of the defects of the furnace wall (hearth), and because the temperature data in a time window is adopted, the influence caused by random errors of temperature measurement is avoided, and the data is more stable and reliable; the online monitoring device for the defects of the furnace wall (hearth) of the high-temperature reaction furnace, which is realized according to the method, is applied to the iron-making blast furnace, so that the accuracy of safety early warning of the hearth is obviously improved, and the yield and the economy of the blast furnace are improved; the device has low manufacturing cost, and the adopted hardware belongs to common devices in the market and is very easy to obtain.
Drawings
Fig. 1 and 2 are schematic diagrams of the principle of the device of the invention.
In the figure: 1 inner surface of furnace wall 2 outer surface of furnace wall 3 temperature measuring point 4 reference temperature measuring point 5 reference temperature measuring point 6 temperature sensor array 7 temperature data acquisition box 8 temperature signal converter 9 bus signal converter 10 data acquisition processor.
The specific implementation mode is as follows:
for the purpose of enhancing an understanding of the present invention, the present embodiment will be described in detail below with reference to the accompanying drawings.
Example 1: referring to fig. 1 and 2, the device for on-line monitoring of the furnace wall defects of the high-temperature reaction furnace comprises a temperature sensor array 6, a collection box 7, a temperature signal converter 8, a bus signal converter 9 and a data collection processor 10, and further comprises at least one temperature sensor 5 which is arranged on a reference temperature measuring point 4 and is used for representing the temperature of fluid in the furnace;
wherein the temperature sensor array 6 is arranged on at least one group of temperature observation points 3 laid between the inner surface 1 and the outer surface 2 of the furnace wall (hearth) in the same horizontal section; the temperature sensor array 6 is arranged at equal distance or unequal distance on at least two equidistant lines of the inner wall surface;
the temperature signal converter 8 is connected with the temperature sensor 5, and the temperature signal converter 8 and the bus signal converter 9 are installed in the data acquisition box 7; the data acquisition processor 10 with the serial communication interface and the human-computer interaction function is connected with the bus signal converter 9.
Example 2: referring to fig. 1 and fig. 2, the method for on-line monitoring the furnace wall defects of the high-temperature reaction furnace is implemented on the device, and comprises the following steps:
1.) selecting L horizontal sections in the height direction of the furnace wall (hearth), and dividing M in each horizontal sectioniAn equidistant line i 1,2, L from the profile line of the inner side of the furnace wall (hearth), L defining N on each equidistant linejA point, j ═ 1, 2.., MiIn total, add up to
Figure BDA0002114610720000051
The points form a thermometric array (6), each measuring point being at a specific time τkIs recorded as
Figure BDA0002114610720000052
2.) at least one temperature sensor (5) is arranged to measure or characterize the temperature of the hot medium in the furnace at a specific time τkIs recorded as the reference temperature
Figure BDA0002114610720000053
3.) the sensor (6) and the reference temperature sensor (5) in the temperature measurement array are respectively connected with a temperature signal converter (8) and a bus converter (9) collector, and the bus converter (9) is connected with a data processor (10) with human-computer interaction capacity to form a temperature measurement network capable of continuous online monitoring;
4.) inputting sampling interval delta tau and sampling time window length tau from a man-machine interaction interface of the data processorLAnd a start instruction;
5.) processing the measured temperatures of the points by a data processor, calculating a variance characterization of the temperature variations of the points over a given time window to determine the amplitude A of the temperature fluctuations at the measuring and reference pointsi,jAnd ArefThe specific algorithm is
(h) It is assumed that the time series of the temperature of each measuring point and the reference point measured in a certain test window are respectively
Figure BDA0002114610720000061
And
Figure BDA0002114610720000062
then the average values can be calculated as
Figure BDA0002114610720000063
And
Figure BDA0002114610720000064
variance is respectively
Figure BDA0002114610720000065
And
Figure BDA0002114610720000066
(i) calculating the amplitude ratio sigma of the temperature variance of each measuring point and the temperature of the reference point in the windowi,j=Di,j(τ)/Dref(τ);
(j) Repeating the steps on each horizontal section to obtain the amplitude ratio sigma of all temperature measuring pointsi,jDistribution in space;
(k) when the temperature amplitude ratio sigma of a certain temperature measuring point on the same equidistant linei,jWhen the larger positive relative deviation (typical value is 10%) occurs between the measured point and the adjacent point, the furnace wall (hearth) near the measured point can be judged to have defects;
(l) When the temperature amplitude ratio sigma of a certain temperature measuring point on the same equidistant linei,jUnder the condition of larger negative relative deviation (the typical value is 10%) compared with the average amplitude of the isodistance line, the furnace wall (the furnace hearth) near the measuring point can be judged to have non-through cracks, so that the heat conduction resistance of the furnace wall (the furnace hearth) is increased;
(m) temperature amplitude ratio σ as measured on adjacent equidistant linesi,jWhen abnormal distribution with an inner value smaller than an outer value occurs, a penetrating crack occurs, and a high-temperature medium is immersed into the crack;
and (n) after a time step, moving the time window backwards by a time step, and repeating the calculation steps to realize the online monitoring of the defects of the furnace wall (hearth).
Application example 1: one of typical system embodiments is shown in fig. 1, wherein an armored K-type thermocouple is used as a measuring point temperature sensor 6 and a reference point temperature sensor 5, a compensation wire with the same graduation number is used as a lead to connect thermocouple signals into a data acquisition device box 7, a temperature signal converter 8 in the box 7 can adopt a plurality of ICP-7018 distributed thermocouple data acquisition modules of Hongge corporation based on the number of the thermocouple temperature sensors by taking 8 as a base, the modules are serially connected through a shielded twisted pair to form an RS-485 bus, an ICP-7520 module is used as a bus converter 9 and is connected with an RS-232 serial port on a PC (personal computer) on an embedded industrial personal computer LS-390Z (10) with a touch screen to form a temperature data continuous acquisition system; the temperature data acquisition box 7 can be made of metal plates, the software of the industrial PC can be compiled by C language, and is responsible for data acquisition, storage and display and realizing the proposed data processing algorithm. The software can be used for matching with a touch screen or a keyboard to realize man-machine interaction, setting a sampling time interval and a time window length, issuing a starting and stopping instruction and the like.
Application example 2: a second typical system implementation scheme is shown in fig. 1, wherein an armored J-type thermocouple is used as a measuring point temperature sensor 6 and a reference point temperature sensor 5, a compensation lead with the same division number is used as a lead to connect thermocouple signals into a data acquisition device box 7, a temperature signal converter 8 in the box 7 can adopt a plurality of ADAM-4018 distributed thermocouple data acquisition modules of the Ohwi company according to the number of the thermocouple temperature sensors by taking 8 as a base number, the modules are serially connected through a shielded twisted pair to form an RS-485 bus, an ADAM-4520 module is used as a bus converter 9 and is connected with an RS-232 serial port on a PC (personal computer) PPC-3100S (10) of an embedded industrial personal computer with a touch screen to form a continuous temperature data acquisition system; the temperature data acquisition box 7 can be made of engineering plastics, and the software of the industrial PC can be compiled by C language, and is responsible for data acquisition, storage and display and realizing the proposed data processing algorithm. The software can be used for matching with a touch screen or a keyboard to realize man-machine interaction, setting a sampling time interval and a time window length, issuing a starting and stopping instruction and the like.
Application example 3: a third exemplary system implementation scheme is shown in fig. 1, an armored B-type thermocouple is used as a measuring point temperature sensor 6 and a reference point temperature sensor 5, a compensation lead wire with the same division number is used as a lead wire to connect thermocouple signals into a data acquisition device box 7, a temperature signal converter 8 in the box 7 can adopt a plurality of distributed thermoelectric even data acquisition modules customized by an STM32F013C8T6 chip based on an ideogram semiconductor, an MAX31855 chip and an MAX485 chip of a Meixin company according to the number of the thermocouple temperature sensors, the modules are connected in series through shielded twisted pairs to form an RS-485 bus, an ADAM-4502 is used as a bus converter 9 and is connected with an RS-232 serial port on an embedded industrial personal computer PPC-3100S (10) with a touch screen to form a temperature data continuous acquisition system; the temperature data acquisition box 7 can be made of engineering plastics, and the software of the industrial PC can be compiled by C language, and is responsible for data acquisition, storage and display and realizing the proposed data processing algorithm. The software can be used for matching with a touch screen or a keyboard to realize man-machine interaction, setting a sampling time interval and a time window length, issuing a starting and stopping instruction and the like.
In the measuring process by using the device of the invention, the following steps are included:
1.) selecting L horizontal sections in the height direction of the furnace wall (hearth), and dividing M in each horizontal sectioniAn equidistant line i 1,2, L from the profile line of the inner side of the furnace wall (hearth), L defining N on each equidistant linejA point, j ═ 1, 2.., MiIn total, add up to
Figure BDA0002114610720000071
The points form a thermometric array (6), each measuring point being at a specific time τkIs recorded as
Figure BDA0002114610720000072
2.) at least one temperature sensor (5) is arranged to measure or characterize the temperature of the hot medium in the furnace at a specific time τkIs recorded as the reference temperature
Figure BDA0002114610720000081
3.) the sensor (6) and the reference temperature sensor (5) in the temperature measurement array are respectively connected with a temperature signal converter (8) and a bus converter (9) collector, and the bus converter (9) is connected with a data processor (10) with human-computer interaction capacity to form a temperature measurement network capable of continuous online monitoring;
4.) input the sampling interval Δ τ (typically 1-5 minutes), the sampling time window length τ from the human-computer interaction interface of the data processorL(typical values are 8-24 hours) and start-up instructions;
5.) processing the measured temperatures of the points by a data processor, calculating a variance characterization of the temperature variations of the points over a given time window to determine the amplitude A of the temperature fluctuations at the measuring and reference pointsi,jAnd ArefThe specific algorithm is
(a) It is assumed that the time series of the temperature of each measuring point and the reference point measured in a certain test window are respectively
Figure BDA0002114610720000082
And
Figure BDA0002114610720000083
then the average values can be calculated as
Figure BDA0002114610720000084
And
Figure BDA0002114610720000085
variance is respectively
Figure BDA0002114610720000086
And
Figure BDA0002114610720000087
(b) calculating the amplitude ratio sigma of the temperature variance of each measuring point and the temperature of the reference point in the windowi,j=Di,j(τ)/Dref(τ);
(c) Repeating the steps on each horizontal section to obtain the amplitude ratio sigma of all temperature measuring pointsi,jDistribution in space;
(d) when the temperature of a certain temperature measuring point on the same equidistant lineAmplitude ratio sigmai,jWhen the larger positive relative deviation (typical value is 10%) occurs between the measured point and the adjacent point, the furnace wall (hearth) near the measured point can be judged to have defects;
(e) when the temperature amplitude ratio sigma of a certain temperature measuring point on the same equidistant linei,jUnder the condition of larger negative relative deviation (the typical value is 10%) compared with the average amplitude of the isodistance line, the furnace wall (the furnace hearth) near the measuring point can be judged to have non-through cracks, so that the heat conduction resistance of the furnace wall (the furnace hearth) is increased;
(f) temperature amplitude ratio sigma when adjacent equidistant linesi,jWhen abnormal distribution with an inner value smaller than an outer value occurs, a penetrating crack occurs, and a high-temperature medium is immersed into the crack;
(g) and after a time step, moving the time window backwards by a time step, and repeating the calculation steps, thereby realizing the online monitoring of the defects of the furnace wall (the furnace hearth).
It should be noted that the above-mentioned embodiments are not intended to limit the scope of the present invention, and all equivalent modifications and substitutions based on the above-mentioned technical solutions are within the scope of the present invention as defined in the claims.

Claims (3)

1. The device for on-line monitoring of the furnace wall defects of the high-temperature reaction furnace is characterized by comprising a temperature sensor array (6), a collection box (7), a temperature signal converter (8), a bus signal converter (9) and a data collection processor (10), and further comprising at least one temperature sensor (5) which is arranged on a reference temperature measuring point (4) and is used for representing the temperature of fluid in the furnace;
wherein the temperature sensor array (6) is arranged on at least one group of temperature observation points (3) laid in the same horizontal section between the inner surface (1) and the outer surface (2) of the furnace wall (hearth); the temperature sensor array (6) is arranged at equal distance or unequal distance on at least two equidistant lines of the inner wall surface;
the temperature signal converter (8) is connected with the temperature sensor (5), and the temperature signal converter (8) and the bus signal converter (9) are installed in the data acquisition box (7); the data acquisition processor (10) with the serial communication interface and the human-computer interaction function is connected with the bus signal converter (9).
2. The on-line monitoring method for the furnace wall defects of the high-temperature reaction furnace, which is realized on the monitoring device according to claim 1, is characterized in that: the method comprises the following steps:
1.) selecting L horizontal sections in the height direction of the furnace wall (hearth), and dividing M in each horizontal sectioniAn equidistant line i 1,2, L from the profile line of the inner side of the furnace wall (hearth), L defining N on each equidistant linejA point, j ═ 1, 2.., MiIn total, add up to
Figure FDA0002114610710000011
The points form a thermometric array (6), each measuring point being at a specific time τkIs recorded as
Figure FDA0002114610710000012
2.) at least one temperature sensor (5) is arranged to measure or characterize the temperature of the hot medium in the furnace at a specific time τkIs recorded as the reference temperature
Figure FDA0002114610710000013
3.) the sensor (6) and the reference temperature sensor (5) in the temperature measurement array are respectively connected with a temperature signal converter (8) and a bus converter (9) collector, and the bus converter (9) is connected with a data processor (10) with a serial communication interface and man-machine interaction capacity to form a temperature measurement network capable of continuous online monitoring;
4.) inputting sampling interval delta tau and sampling time window length tau from a man-machine interaction interface of the data processorLAnd a start instruction;
5.) processing the measured temperatures of the points by a data processor, calculating a variance characterization of the temperature variations of the points over a given time window to determine the amplitude A of the temperature fluctuations at the measuring and reference pointsi,jAnd Aref
3. The on-line monitoring method according to claim 2, wherein: in the step 5), the specific algorithm is as follows:
the specific algorithm is as follows:
(a) it is assumed that the time series of the temperature of each measuring point and the reference point measured in a certain test window are respectively
Figure FDA0002114610710000021
And
Figure FDA0002114610710000022
then the average values can be calculated as
Figure FDA0002114610710000023
And
Figure FDA0002114610710000024
variance is respectively
Figure FDA0002114610710000025
And
Figure FDA0002114610710000026
(b) calculating the amplitude ratio sigma of the temperature variance of each measuring point and the temperature of the reference point in the windowi,j=Di,j(τ)/Dref(τ);
(c) Repeating the steps on each horizontal section to obtain the amplitude ratio sigma of all temperature measuring pointsi,jDistribution in space;
(d) when the temperature amplitude ratio sigma of a certain temperature measuring point on the same equidistant linei,jWhen the larger positive relative deviation (typical value is 10%) occurs between the measured point and the adjacent point, the furnace wall (hearth) near the measured point can be judged to have defects;
(e) when the temperature amplitude ratio sigma of a certain temperature measuring point on the same equidistant linei,jIn the case of a large negative relative deviation (typically 10%) from the average amplitude ratio of the line of equal spacingThe non-penetrating crack of the furnace wall (hearth) near the measuring point can be judged to cause the increase of the heat conduction resistance of the furnace wall (hearth);
(f) temperature amplitude ratio sigma when adjacent equidistant linesi,jWhen abnormal distribution with an inner value smaller than an outer value occurs, a penetrating crack occurs, and a high-temperature medium is immersed into the crack;
(g) and after a time step, moving the time window backwards by a time step, and repeating the calculation steps to realize the online monitoring of the defects of the furnace wall (the furnace hearth).
CN201910586024.2A 2019-07-01 2019-07-01 Device and method for on-line monitoring of furnace wall defects of high-temperature reaction furnace Pending CN112179945A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114622047A (en) * 2022-02-25 2022-06-14 首钢集团有限公司 Method, device and equipment for determining working state of blast furnace hearth and storage medium

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1662234A1 (en) * 2004-11-24 2006-05-31 ebro Electronic GmbH & Co. KG Measurement recording and storage device
DE102006011816A1 (en) * 2006-03-13 2007-09-20 Betriebsforschungsinstitut VDEh - Institut für angewandte Forschung GmbH Fireproof material`s heat conductivity determining method for e.g. blast furnace lining, involves determining heat flow density and/or heat flow via furnace lining with sensor or from temperature difference of reference body in lining
CN101078699A (en) * 2007-06-26 2007-11-28 东南大学 Detection method for protecting integral heat-insulation property of structure
US20080236198A1 (en) * 2007-11-03 2008-10-02 Behzad Moshiri Method and system for Condition Monitoring of the HTBS Furnace Using Sensor Fusion.
CN101514896A (en) * 2008-09-02 2009-08-26 中冶华天工程技术有限公司 Convertor lining thickness online testing method and device thereof
CN101886152A (en) * 2010-06-02 2010-11-17 河北省首钢迁安钢铁有限责任公司 Three-dimensional unstable state monitoring and abnormity diagnosis and maintenance system of blast furnace hearth
CN103695594A (en) * 2012-09-27 2014-04-02 余健 Converter condition monitoring system
CN104700596A (en) * 2015-03-25 2015-06-10 哈尔滨中超信诺科技有限公司 Wireless temperature collection system
CN108318849A (en) * 2018-03-19 2018-07-24 国网新疆电力有限公司 A kind of wireless sensor device and wireless detecting system
JP2018150219A (en) * 2017-03-13 2018-09-27 Ftb研究所株式会社 Apparatus and method for growing large diameter cz single crystal
CN208071732U (en) * 2018-03-02 2018-11-09 北京科技大学 A kind of thermometric spray gun being installed on converter bottom

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1662234A1 (en) * 2004-11-24 2006-05-31 ebro Electronic GmbH & Co. KG Measurement recording and storage device
DE102006011816A1 (en) * 2006-03-13 2007-09-20 Betriebsforschungsinstitut VDEh - Institut für angewandte Forschung GmbH Fireproof material`s heat conductivity determining method for e.g. blast furnace lining, involves determining heat flow density and/or heat flow via furnace lining with sensor or from temperature difference of reference body in lining
CN101078699A (en) * 2007-06-26 2007-11-28 东南大学 Detection method for protecting integral heat-insulation property of structure
US20080236198A1 (en) * 2007-11-03 2008-10-02 Behzad Moshiri Method and system for Condition Monitoring of the HTBS Furnace Using Sensor Fusion.
CN101514896A (en) * 2008-09-02 2009-08-26 中冶华天工程技术有限公司 Convertor lining thickness online testing method and device thereof
CN101886152A (en) * 2010-06-02 2010-11-17 河北省首钢迁安钢铁有限责任公司 Three-dimensional unstable state monitoring and abnormity diagnosis and maintenance system of blast furnace hearth
CN103695594A (en) * 2012-09-27 2014-04-02 余健 Converter condition monitoring system
CN104700596A (en) * 2015-03-25 2015-06-10 哈尔滨中超信诺科技有限公司 Wireless temperature collection system
JP2018150219A (en) * 2017-03-13 2018-09-27 Ftb研究所株式会社 Apparatus and method for growing large diameter cz single crystal
CN208071732U (en) * 2018-03-02 2018-11-09 北京科技大学 A kind of thermometric spray gun being installed on converter bottom
CN108318849A (en) * 2018-03-19 2018-07-24 国网新疆电力有限公司 A kind of wireless sensor device and wireless detecting system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
安剑奇: "基于动态神经网络的高炉炉壁不完备温度检测信息软测量方法", 《化工学报》, vol. 67, no. 3, pages 903 - 910 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114622047A (en) * 2022-02-25 2022-06-14 首钢集团有限公司 Method, device and equipment for determining working state of blast furnace hearth and storage medium

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